Template optimized character recognition method and system
A character recognition and template technology, applied in character and pattern recognition, instruments, computing, etc., can solve the problem of increasing data volume, achieve the effect of reducing storage capacity and improving recognition speed
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[0045] In the statistical pattern recognition method, the Chinese character feature is based on the n-dimensional vector X=[x 1 , x 2 ,...,x n ], the dictionary contains n-dimensional feature vectors of each type of Chinese character. Recognizing a certain Chinese character is to use the distance and / or similarity formula to determine which n-dimensional feature vector of the Chinese character is closest to the n-dimensional feature vector of the standard Chinese character in the dictionary. Distance metrics usually include Euclidean distance, urban block distance, and Mahalanobis distance. Commonly used distance and similarity formulas are shown in formulas (1) and (2) respectively:
[0046] D ( X , G ) = Σ i = 1 n [ X ...
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